Please note this is a contract position, with possible extension based on project needs.
Company Overview: We are an R&D accelerator based in Paris that empowers fast-growing startups in Europe with Technology Advisory and Technology talent on demand enabling them to work on impactful projects in fixed contracts while maintaining flexibility.
Job Overview: We are looking for a skilled Data Engineer to join our network and collaborate with cutting-edge startups. You will be responsible for designing, building, and maintaining scalable data pipelines, ensuring data integrity, and optimizing data workflows to support business intelligence and analytics needs.
Key Responsibilities:
- Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines.
- Optimize data architectures for reliability, scalability, and performance.
- Collaborate with data scientists, analysts, and software engineers to integrate data solutions.
- Ensure data quality and integrity by implementing monitoring and validation processes.
- Work with cloud-based data platforms (AWS, GCP, Azure) and database technologies (SQL, NoSQL, data warehouses).
- Develop and maintain documentation for data workflows and processes.
- Contribute to the continuous improvement of data engineering best practices.
Required Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 3+ years of experience as a Data Engineer or in a similar role.
- Proficiency in SQL, Python, or Scala for data processing.
- Experience with data pipeline tools such as Apache Airflow, Kafka, or dbt.
- Knowledge of cloud-based data solutions (AWS Redshift, Google BigQuery, Azure Synapse, etc.).
- Strong understanding of data modeling, warehousing, and database optimization.
- Ability to work independently and manage multiple projects in a fast-paced startup environment.
Preferred Qualifications:
- Experience working in a startup or consulting environment.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Exposure to machine learning pipelines and data science workflows.
- Understanding of data privacy and security best practices.
Why Join Us?
- Work with exciting startups on high-impact projects.
- Flexibility to choose projects that align with your skills and career goals.
- Competitive compensation and contract-based work arrangements.
- Access to a global network and startup opportunities.